A decision maker (DM) considers the acquisition of a multi-attribute object with uncertain qualities which can be discovered at a cost. DM's problem is to decide how much to invest in the discovery and whether to adopt or discard based on partial information. We characterize the solution in some...

We present a theory of discrete choice with information costs that supports deliberate stochastic choice. We use a unique experimental dataset to distinguish between errors arising from limitations on a decision maker's cognitive abilities and conscious disregard of information. Experimental...

A decision maker, named Alice, wants to know if an expert has significant information about payoff-relevant probabilities of future events. The expert, named Bob, either knows this probability almost perfectly or knows nothing about it. Hence, both Alice and the uninformed expert face...

The goal programming (GP) is a well-known approach applied to multi-criteria decision making (M-DM). It has been used in many domains and the literature offers diverse extensions of this procedure. On the other hand, so far, some evident analogies between M-DM under certainty and scenario-based...